Data Engineer (Hybrid)

📋 Description Design, develop, and maintain data pipelines with Apache Airflow to automate data tasks. Leverage AWS services (S3, Redshift, RDS, Lambda, Glue) to build scalable data solutions. Develop and maintain ETL processes, data transformations, and data modeling. Collaborate with teams to define data requirements and ensure data quality. Conduct exploratory data analysis to identify patterns and share findings. Develop data-driven models and algorithms to support business goals. 🎯 Requirements Bachelor's or Master's degree in Computer Science, Data Science, or related field. Strong experience with Apache Airflow for orchestration and data pipelines. Proficiency in AWS services (S3, Redshift, RDS, Lambda, Glue). Python with Pandas, NumPy, and scikit-learn. Familiarity with SQL and data manipulation languages. Strong analytical and problem-solving skills. 🎁 Benefits Monthly learning & wellness stipend Internal training Unlimited subscriptions to streaming services & movie tickets